Pathway analysis and optimization in metabolic engineering / / Néstor V. Torres, Eberhard O. Voit [[electronic resource]]

• Record Nr.: UNINA9910826340603321
• Autore: Torres Néstor V. <1958->
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2002
• ISBN: 1-107-13019-0; 0-521-17748-0; 1-280-16042-X; 9786610160426; 1-139-14696-3; 0-511-11925-9; 0-511-05689-3; 0-511-30747-0; 0-511-54633-5; 0-511-07168-X
• Descrizione fisica: 1 online resource (xiv, 305 pages) : digital, PDF file(s)
• Disciplina: 660.6/3
• Soggetti: Biochemical engineering - Mathematical models; Mathematical optimization; System theory
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; CHAPTER ONE Target: A Useful Model; CHAPTER TWO Methods of Biochemical Systems Theory; CHAPTER THREE A Model of Citric Acid Production in the Mold Aspergillus niger; CHAPTER FOUR Optimization Methods; CHAPTER FIVE Optimization of Biochemical Systems; CHAPTER SIX Optimization of Citric Acid Production in Aspergillus niger; CHAPTER SEVEN Maximization of Ethanol Production in Saccharomyces cerevisiae; CHAPTER EIGHT Conclusions; Author Index; Subject Index
• Sommario/riassunto: Facility in the targeted manipulation of the genetic and metabolic composition of organisms, combined with unprecedented computational power, is forging a niche for a new subspecialty of ; biotechnology called metabolic engineering. First published in 2002, this book introduces researchers and advanced students in biology and engineering to methods of optimizing biochemical systems of biotechnological relevance. It examines the development of strategies for manipulating metabolic pathways, demonstrates the need for effective systems models, and discusses their design and analysis, while placing special emphasis on optimization. The authors propose power-law models and methods of biochemical systems theory toward these ends. All concepts are derived from first principles, and the text is richly illustrated with numerous graphs and examples throughout. Special features include: nontechnical and technical introductions to models of biochemical systems; a review of basic methods of model design and analysis; concepts of optimization; and detailed case studies.